Cloud Architecture for Large-Scale Machine Learning Workloads with Performance Optimization
The development of data-intensive apps has rapidly risen the need of scaling and efficient machine learning infrastructures. The traditional cloud setup will normally have a performance bottleneck associated with under optimized allocation of resources, high latency, and dynamic variations in workloads. The paper descr...